{"id":"W4232009201","doi":"10.1093/humrep/des464","title":"Estimating the prevalence of infertility in Canada","year":2013,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infertility; Medicine; Gynecology; Obstetrics; Demography; Biology; Pregnancy; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119012,0.0002926976,0.0004818024,0.004496484,0.002001004,0.001233408,0.001526579,0.0005987421,0.003175148],"category_scores_gemma":[0.005627887,0.000444204,0.0008965877,0.008654935,0.0005513366,0.0003689626,0.0006901628,0.0007507878,0.0004007578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04184267,"about_ca_system_score_gemma":0.04489301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982049,"about_ca_topic_score_gemma":0.9983069,"domain_scores_codex":[0.9984888,0.0001183721,0.0001223735,0.0002013651,0.0007314667,0.000337613],"domain_scores_gemma":[0.9957101,0.0002622165,0.0003904524,0.00008806774,0.00305505,0.0004940904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005400401,0.00002171093,0.9645813,0.0001845358,0.0001667142,0.0001160964,0.0003420611,0.0005552644,0.0001345604,0.0005459077,0.01576713,0.01753074],"study_design_scores_gemma":[0.00001595321,0.0000202015,0.9903061,0.0001673595,0.00009351614,0.0001377381,0.0006191697,0.001731575,0.0001128011,0.0001085571,0.006666212,0.00002065222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.858844,0.02050691,0.002665135,0.006367552,0.0004428197,0.0003643022,0.0804942,0.0002503409,0.03006477],"genre_scores_gemma":[0.9760759,0.006972885,0.00217881,0.0009354014,0.0000688653,0.00007888477,0.009777667,0.00003276539,0.003878762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04184267,"threshold_uncertainty_score":0.3035913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969373811404524,"score_gpt":0.2813140798264243,"score_spread":0.251620341712379,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}